Triple

T14900988
Position Surface form Disambiguated ID Type / Status
Subject M60 motorway E360001 entity
Predicate hasJunction P1018 FINISHED
Object Junction 13
Junction 13 is an interchange on the M60 motorway in Greater Manchester, England, connecting local roads to the orbital route around Manchester.
E1131448 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Junction 13 | Statement: [M60 motorway, hasJunction, Junction 13]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Junction 13
Context triple: [M60 motorway, hasJunction, Junction 13]
  • A. Junction 11
    Junction 11 is an interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
  • B. Junction 16
    Junction 16 is a numbered motorway interchange on the M20 in England, connecting local roads to this major route between London and the Channel ports.
  • C. Junction 22
    Junction 22 is a high-altitude motorway junction on the M62 in northern England, situated on the Pennines near the motorway’s summit.
  • D. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • E. Junction 1
    Junction 1 is a motorway interchange on the M20 in southeast England, providing access between the M20 and local roads near the London orbital route.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Junction 13
Triple: [M60 motorway, hasJunction, Junction 13]
Generated description
Junction 13 is an interchange on the M60 motorway in Greater Manchester, England, connecting local roads to the orbital route around Manchester.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Junction 13
Target entity description: Junction 13 is an interchange on the M60 motorway in Greater Manchester, England, connecting local roads to the orbital route around Manchester.
  • A. Junction 11
    Junction 11 is an interchange on the M60 motorway in Greater Manchester, England, providing access between the orbital route and local roads.
  • B. Junction 16
    Junction 16 is a numbered motorway interchange on the M20 in England, connecting local roads to this major route between London and the Channel ports.
  • C. Junction 22
    Junction 22 is a high-altitude motorway junction on the M62 in northern England, situated on the Pennines near the motorway’s summit.
  • D. Junction 1
    Junction 1 is a major road interchange on England’s M58 motorway, connecting it with local and regional routes.
  • E. Junction 1
    Junction 1 is a motorway interchange on the M20 in southeast England, providing access between the M20 and local roads near the London orbital route.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded609bf68819099ca3aa3fe1acadc completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe968a17188190bced83ed1006e020 completed May 9, 2026, 2:06 a.m.
NEDg Description generation batch_69fe9736977081909b959feafaabe354 completed May 9, 2026, 2:08 a.m.
NED2 Entity disambiguation (via description) batch_69fe97d10ff081909002f244d88bfb69 completed May 9, 2026, 2:11 a.m.
Created at: April 10, 2026, 2:11 a.m.